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Record W2333150056 · doi:10.2307/25095537

Japanese and Chinese Immigrant Activists: Organizing in American and International Communist Movements, 1919-1933. By Josephine Fowler. (New Brunswick: Rutgers University Press, 2007. xvi, 272 pp. Cloth, $70.00, ISBN 978-0-8135-4040-5. Paper, $27.95, ISBN 978-0-8135-4041-2.)

2008· article· en· W2333150056 on OpenAlexaboutno aff
Allan W. Austin

Bibliographic record

VenueJournal of American History · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationCommunismHistoryMedia studiesArt historyPolitical scienceSociologyLawPolitics

Abstract

fetched live from OpenAlex

Journal Article Japanese and Chinese Immigrant Activists: Organizing in American and International Communist Movements, 1919–1933. By Josephine Fowler. (New Brunswick: Rutgers University Press, 2007. xvi, 272 pp. Cloth, $70.00, ISBN 978-0-8135-4040-5. Paper, $27.95, ISBN 978-0-8135-4041-2.) Get access Allan W. Austin Allan W. Austin Misericordia UniversityDallas, Pennsylvania Search for other works by this author on: Oxford Academic Google Scholar Journal of American History, Volume 95, Issue 1, June 2008, Pages 227–228, https://doi.org/10.2307/25095537 Published: 01 June 2008

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.231
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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